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dissecting-reinforcement-learning

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

dliterations

dliteration blog assets

dotfiles

dotfiles

draw_convnet

dynamic_neural_manifold

emnlp2017-bilstm-cnn-crf

fast-neural-style

Feedforward style transfer

fastai

The fast.ai deep learning library, lessons, and tutorials

frugally-deep

Header-only library for using Keras models in C++.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gsoc

Numfocus Google Summer of Code Materials

imgaug

Image augmentation for machine learning experiments.

introstat_random

Material for Introductory Statistics with Randomization and Simulation (Diez, Barr and Cetinkaya-Rundel)

k3d-jupyter

keras-acgan

Auxiliary Classifier Generative Adversarial Networks in Keras

keras-gan

Keras implementations of Generative Adversarial Networks.

keras_transfer_cifar10

Object classification with CIFAR-10 using transfer learning

lectures

Oxford Deep NLP 2017 course

lstm-crf-models

LSTM-CRF models for sequence labeling in text.

lstm_mnist

Implementation of LSTM Cells for MNIST Classification

machine-learning-curriculum

:computer: Make machines learn so that you don't have to program them; The ultimate list

models

Models and examples built with TensorFlow

nbow2-text-class

Data and code used in the 2016 RepL4NLP ACL paper, "Learning Word Importance with the Neural Bag-of-Words Model"

neural-doodle

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

neurodocker

Generate custom Docker and Singularity images, and minimize existing containers

py-umls

Basic Python 3 tools to interact with UMLS lexica

reconstruction-and-compression-of-color-images

Reconstruction and Compression of Color Images Using Principal Component Analysis (PCA) Algorithm

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

self-learning

Books Papers, Courses & more I have to learn soon

simplenlp